A unified data reconstruction attack achieves provable finite-width recovery in random feature networks and efficient subspace-based reconstruction for general models using weight changes.
Understand- ing reconstruction attacks with the neural tangent kernel and dataset distillation
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Efficient Techniques for Data Reconstruction, with Finite-Width Recovery Guarantees
A unified data reconstruction attack achieves provable finite-width recovery in random feature networks and efficient subspace-based reconstruction for general models using weight changes.
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